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The alveolar immune cell landscape is dysregulated in checkpoint inhibitor pneumonitis
Karthik Suresh, … , Sonye K. Danoff, Franco D’Alessio
Karthik Suresh, … , Sonye K. Danoff, Franco D’Alessio
Published October 1, 2019; First published July 16, 2019
Citation Information: J Clin Invest. 2019;129(10):4305-4315. https://doi.org/10.1172/JCI128654.
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Categories: Clinical Medicine Immunology Pulmonology

The alveolar immune cell landscape is dysregulated in checkpoint inhibitor pneumonitis

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Abstract

BACKGROUND Checkpoint inhibitor pneumonitis (CIP) is a highly morbid complication of immune checkpoint immunotherapy (ICI), one which precludes the continuation of ICI. Yet, the mechanistic underpinnings of CIP are unknown.METHODS To better understand the mechanism of lung injury in CIP, we prospectively collected bronchoalveolar lavage (BAL) samples in ICI-treated patients with (n = 12) and without CIP (n = 6), prior to initiating first-line therapy for CIP (high-dose corticosteroids). We analyzed BAL immune cell populations using a combination of traditional multicolor flow cytometry gating, unsupervised clustering analysis, and BAL supernatant cytokine measurements.RESULTS We found increased BAL lymphocytosis, predominantly CD4+ T cells, in patients with CIP. Specifically, we observed increased numbers of BAL central memory T cells, evidence of type I polarization, and decreased expression of cytotoxic T lymphocyte–associated protein 4 and programmed cell death protein 1 in BAL Tregs, suggesting both activation of proinflammatory subsets and an attenuated suppressive phenotype. CIP BAL myeloid immune populations displayed enhanced expression of IL-1β and decreased expression of counterregulatory interleukin-1 receptor antagonist. We observed increased levels of T-cell chemoattractants in the BAL supernatant, consistent with our proinflammatory, lymphocytic cellular landscape.CONCLUSION We observe several immune cell subpopulations that are dysregulated in CIP, which may represent possible targets that could lead to therapeutics for this morbid immune-related adverse event.FUNDING NIH, Department of Defense, and the Bloomberg~Kimmel Institute for Cancer Immunotherapy.

Authors

Karthik Suresh, Jarushka Naidoo, Qiong Zhong, Ye Xiong, Jennifer Mammen, Marcia Villegas de Flores, Laura Cappelli, Aanika Balaji, Tsvi Palmer, Patrick M. Forde, Valsamo Anagnostou, David S. Ettinger, Kristen A. Marrone, Ronan J. Kelly, Christine L. Hann, Benjamin Levy, Josephine L. Feliciano, Cheng-Ting Lin, David Feller-Kopman, Andrew D. Lerner, Hans Lee, Majid Shafiq, Lonny Yarmus, Evan J. Lipson, Mark Soloski, Julie R. Brahmer, Sonye K. Danoff, Franco D’Alessio

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Figure 5

Abnormal T cell subsets in CIP.

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Abnormal T cell subsets in CIP.
Differential cluster map (center) shows ...
Differential cluster map (center) shows clusters where the number of cells within the cluster were increased by 95% in controls (red, n = 6) or CIP (cyan, n = 12). Cytokine profile (inset) and scatter plot of relevant cytokines showing MFI in the selected clusters (red) compared with MFI across all clusters (black) in (counterclockwise): (i) CD4+FoxP3loCD25–CD62LhiCD45RAlo cluster increased in CIP; (ii) PD-1hiCTLA-4hi clusters of Tregs increased in controls, scatter plot showing PD-1/CTLA-4 MFI in selected clusters; (iii) similar (i.e., <95% difference) expression of PD-1loCTLA-4lo Treg clusters in CIP and controls, scatter plot showing PD-1/CTLA-4 MFI in selected clusters; (iv) a CD3+CD4lo CD8–TNF-αhi population increased in CIP, scatter plot showing CD4/TNF-α MFI in selected clusters; (v) CD8+TNF-αhiPD-1hi clusters increased in CIP, scatter plot showing CD8/TNF-α MFI in selected clusters; and (vi) a second set of CD8+TNF-αhi clusters increased in CIP.
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ISSN: 0021-9738 (print), 1558-8238 (online)

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